XANO LEARN

Ask the real question.
Leave with a path.

Every Learn page answers one question, then hands you the docs, video, and template to act on it.

learn / question

How do I take an AI-built app to production?

QUICK ANSWER Give it a backend and release process that can handle real data, users, changes, and failures.

BROWSE BY WHERE YOU ARE

Every stage of software has its own questions

Pick the stage you're in. We'll show the questions teams usually hit there.

  • 01

    Ship it

    Prototype → production

  • 02

    Run it

    Test, deploy, observe

  • 03

    Modernize it

    Legacy → incremental

  • 04

    Open it up

    Shared visibility

  • 05

    Standardize it

    One way to build

  • 06

    Govern it

    AI agents

Getting AI-built software into production

AI makes it easy to create software quickly. Getting it ready for real users - architecture, testing, security, reliability, deployment - is a different challenge.

See all production guides →
HOW LEARN WORKS

From a question to working code

  1. 01

    Learn

    Understand the problem, your options, and the right approach.

  2. 02

    Implement

    Exact steps for doing it in Xano, in the Docs.

  3. 03

    Watch

    See the concept or workflow demonstrated on YouTube.

  4. 04

    Build

    Start from a working template and make it yours.

LATEST

New on Learn

Integration

Pairing Xano and n8n with the official Xano node!

Learn how to use the official Xano n8n node to build a support ticket automation — no headers, no custom code required.
INTEGRATIONS

Using a specific tool? Start there.

Guides for the frontends, automation tools, and AI builders people pair with Xano most.

Built something that's becoming real?

Xano is where AI-built projects grow up. Keep your AI tools - give them a governed backend to build on.

Start building, free Talk to an engineer
$ claude mcp add xano
$ xano workspace pull
> "Add a signup endpoint…"
$ xano sandbox push
$ xano sandbox workflow_test
$ xano workspace push ✓